Bahareh Kalantar

Global and Planetary Change · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Global and Planetary Change — 27 citations into it
• Management, Monitoring, Policy and Law — 22 citations into it
• Mechanical Engineering — 10 citations into it
• Safety, Risk, Reliability and Quality — 8 citations into it

Whom Bahareh Kalantar trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Biswajeet Pradhan
2. Saro Lee
3. Candan Gokceoglu
4. D. Tien Bui
5. Isik Yilmaz
6. Taskin Kavzoglu
7. André Stumpf
8. Hamid Reza Pourghasemi
9. Filippo Catani
10. Giorgos Mountrakis

Papers from Bahareh Kalantar's perspective

Ordered by how strongly the researchers Bahareh Kalantar trusts endorse each paper. Same corpus, a different order for every researcher.

1. Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling (Environmental Modelling & Software)
2. Assessment of shallow landslide susceptibility using artificial neural networks in Jabonosa River Basin, Venezuela
3. Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression (Landslides)
4. A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS (Computational Geosciences)
5. Artificial Neural Networks applied to landslide susceptibility assessment
6. Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models
7. Landslide susceptibility mapping by binary logistic regression, analytical hierarchy process, and statistical index models and assessment of their performances (Natural Hazards)
8. A comparative study of conventional, ANN black box, fuzzy and combined neural and fuzzy weighting procedures for landslide susceptibility zonation in Darjeeling Himalayas
9. Generalised linear modelling of susceptibility to landsliding in the Central Apennines, Italy
10. Multiple regression, ANN (RBF, MLP) and ANFIS models for prediction of swell potential of clayey soils (Expert systems with applications)

Their papers

• Invasive weed species’ threats to global biodiversity: Future scenarios of changes in the number of invasive species in a changing climate (2020) — 96 citations
• Assessment of the effects of training data selection on the landslide susceptibility mapping: a comparison between support vector machine (SVM), logistic regression (LR) and artificial neural networks (ANN) (2018) — 479 citations
• A comparative assessment of GIS-based data mining models and a novel ensemble model in groundwater well potential mapping (2017) — 204 citations